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CLIMATE DATA

Timber in Forest
Climate report forecast

Silva21 Climate Report

A comprehensive report summarizing future climate projections for each of the 12 hubs in the Silva21 project

Wotherspoon, AR, Burnett, M., Achim, A., Coops, NC 2022. Climate Scenarios for Canadian Forests. Silva21, Vancouver, BC

Climate data has been collected and analysed for each one of the hub sites. The majority of the climate data has been accessed through ClimateNA. Multiple climate reports have been produced and are available on the portal and our website. If you would like more information, please consult Amy Wotherspoon.

General Circulation Model selection application SilvR21

 

This tool provides visualizations and documentation of the global climate model ensemble featured in Version 7 of ClimateNA. The ensemble is from the new generation of global climate model simulations, the sixth Coupled Model Intercomparison Project (CMIP6). Use this tool to learn about the model simulations within each Silva21 hub site and choose a small ensemble suited for your research.

SilvR21.png

Model Selector Application

of global circulationSilvR21

 

This tool provides visualizations and documentation of the global climate model suite featured in ClimateNA version 7. The set comes from the next generation of Global Climate Models simulations (General Circulation Models), the sixth Coupled Model Intercomparison Project (CMIP6). Use this tool to learn more about model simulations within each Silva21 hub site and choose a small set suitable for your research.

For a more detailed description as to how to use this R package, see the Silva21 Welcome Document

R Package - SilvR21

 

To simplify methods of accessing and processing climate data from ClimateNA, the

R package SilvR21 was created by Michael Burnett.

 

The R package will help you to:

  • Prepare Digital Elevation Models (DEM) as TIFF files and convert them to CSV files (a requirement to use ClimateNA)

  • Access historical and future projected climate data, and

  • Process the files in a similar fashion to how it has been used thus far within Silva21.

 

Annual and seasonal means/sums can be computed from monthly data along with personalized GCM ensemble generators.

To import SilvR21 on your computer:

  1. Make sure the devtools is installed.

  2. Then, use the following code: devtools::install_github("Silva21-irss/silvR21",build_vignettes = TRUE) to install SilvR21 on your computer.

  3. Follow the vignette for the SilvR21 package.

After downloading the package, you may search for it with browserVignettes('silvR21').

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